Data Scientiest Master's Program with Machine Learning..


Prepare for a career in Data Science with the most comprehensive certificate Programme in Data Science & Engineering without taking a break from your career. Data Science and Engineering is a Programme designed to helps participants to build mathematical and engineering skills required to advance their career as a Data Scientist or Data Engineer.
The programme features are lectures, practices, case study, simulations, projects, HR, interview preparation conducted by faculty. Training and development are an important part of any successful career path. It involves people in activities that are designed to improve their performance and provide them with the knowledge, skills, and attitude necessary to perform their jobs. By providing regular training, individuals gain the right attitude toward professional life and a better understanding of work-related processes. Training and development allow individuals to reach their full potential while ensuring they remain competitive in the job market.

Training Evaluation & Development :
Our aim is to:
1. Taining and Developement till Placement.
2. Performance Evaluation after Failed Interviews
3. Improve participant's performance through practice,mock interview,presentation,test and story telling.
4. Topic wise,Module wise and subject wise performance Evaluation.
5. Advocate the learner to learner communication on an extensive scale.
6. Trainer and participants One-to-One interaction.
7. Expand skill based assessment that reveals actual performance, not just knowledge.
8. Address each participant’s skill development,professional goal and area of interest.
9. Demonstration, personality, group discussion and communication skill development.
10. Real life case studies,Experimental Learning, simulations and live projects to individuals or group of participant.
11. Each participant shall be closely observed along with assessment.
12. At the end of session/topic each participant shall be provided with inputs on area of excellence and improvement.
13. Participants shall be assessed, mentored on training by role playing, simulation, Assignments, case studies, live project work conducted by trainer with 95% assessment criteria.
14. Explore personal and technical skill of each participant.

Career Guidance:
Arranging Motivational Talks.
Conducting Psychometric Test.
Conducting Expectation Management Workshops.
Conducting Personality Development Programs
Conducting Skill Imbibing Programs
Personality Development
Communication Skills & Vocabulary
Resume Preparation & Email Writing
Group Discussion
Interview Skills
Aptitude Training & Practice Tests

Placement:
Training and Placement at Sankalan Data System is to train and guide students to choose right career and to give real life application knowledge, skill, and aptitude and meet the manpower requirements of the Industry.
1. we assist students to develop/clarify their academic and career interests, and their short and long-term goals through individual counseling and group sessions.
2. To assist students in obtaining placement in reputed companies.
3. Coordinating with companies to learn about their requirements and recruitment procedures
4. Identifying the needs and expectations of the companies to assist them in recruiting most suitable candidates.
5. Organizing pre-placement training/workshops/seminars for students.
6. Periodic meetings with Human Resources Department or TPO's to promote recruitments.
7. To assist students for industrial training at the end of the fourth and sixth semester.
8. Maintaining and regularly updating the database of students. Maintaining database of companies for campus recruitments.


Job Roles and Salaries in Data Science Field.

Data Scientiest Master's Program CONTENTS..


1. Aptitude Logical Reasoning and HR

  • Aptitude Preparation
  • HR/PI Preparation.
  • Communication
  • Presentation Preparation
  • Group discussions
2. Mathematics and Statistics
  • Statistics
  • Mean, Median, Mode.
  • Probability.
  • Hypothesis Testing
3. Database
  • Introduction to Database
  • Cassandra
  • MySQL
  • Oracle Database SQL
4.Programming
  • Core Python
  • Advanced Python
  • R- Language
  • Numpy
  • Pandas
  • Scipy.
5.Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Regression Learning
  • PCA in Machine Learning
  • Algorithms in Machine Learning
  • Clustering in Machine Learning

6.Deep Learning:

  • TensorFlow
  • Artificial Neural Network
  • Deep Belief Network
  • GNN
  • CNN

7.Big Data
  • Hadoop | Spark
  • HDFS
  • Map Reduce
  • HiveQL
  • HBase
  • Pig.

8.Data Visualization
  • Tableau
  • QlikView
  • Excel
9.Data Engineering
  • Data Preprocessing
  • Data wrangling
  • NoSQL
10.Natural Language Processing (NLP)
11.Business Intelligence (BI)
12. Database Management
13. and more Latest topics..... as per Industries Standard

THE ELIGIBILITY CRITERIA

Minimum eligibility to apply – Any Graduates or Post Graduates holding B.E. / B.Tech. / MCA / M.Sc. / Bsc. / BCS or equivalents are eligible to apply.
Applicants should possess basic programming knowledge and adequate background in Mathematics(is plus).